Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.

<h4>Objective</h4>It has been demonstrated that Parkinson's disease (PD) is closely associated with endoplasmic reticulum stress (ERS) and ferroptosis. However, the specific mechanisms underlying these associations remain unclear. Consequently, this study investigated the mechanisms...

Full description

Saved in:
Bibliographic Details
Main Authors: Hao Wang, Lijuan Feng, Limeng He, Nan Liu, Yan Wan, Wei Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0328682
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849228240224256000
author Hao Wang
Lijuan Feng
Limeng He
Nan Liu
Yan Wan
Wei Zhang
author_facet Hao Wang
Lijuan Feng
Limeng He
Nan Liu
Yan Wan
Wei Zhang
author_sort Hao Wang
collection DOAJ
description <h4>Objective</h4>It has been demonstrated that Parkinson's disease (PD) is closely associated with endoplasmic reticulum stress (ERS) and ferroptosis. However, the specific mechanisms underlying these associations remain unclear. Consequently, this study investigated the mechanisms connecting these factors and explored potential biomarkers for PD.<h4>Methods</h4>Data for PD and ERS, as well as information on ferroptosis, were sourced from public databases and relevant literature. Candidate genes were identified through differential expression analysis and weighted gene co-expression network analysis. Further investigations included functional enrichment analysis, the construction of a protein-protein interaction (PPI) network, and the examination of related genes. Subsequently, biomarkers were validated using the least absolute shrinkage and selection operator regression algorithm. Additionally, correlations among biomarkers, gene set enrichment analysis, chromosomal and subcellular localization, immune cell infiltration, regulatory mechanisms, and drug predictions were conducted.<h4>Results</h4>Initially, seven candidate genes were identified, predominantly associated with type II diabetes mellitus. Furthermore, five interacting associations within the PPI network and twenty related genes were identified, primarily engaged in the physical interactions pathway. Subsequently, three biomarkers were screened: N-myc downstream-regulated gene 1 (NDRG1), dihydrolipoamide dehydrogenase (DLD), and cold-inducible RNA-binding protein (CIRBP). A detailed analysis revealed a positive correlation between CIRBP and DLD, while NDRG1 exhibited a negative correlation with DLD; all three biomarkers were chiefly enriched in the oxidative phosphorylation pathway and PD. NDRG1 is located on chromosome 8, DLD on chromosome 7, and CIRBP on chromosome 19, with all three primarily localized in the nucleus. A total of 31 differential immune cells were identified between the disease and control groups, with neurons representing the highest proportion and the most significant negative correlation observed between DLD and pro B-cells. The interactions involving NORAD-hsa-miR-1277-5p-DLD, NEAT1-hsa-miR-128-3p-CIRBP, and XIST-hsa-miR-3173-5p-NDRG1 were found to be pivotal. Additionally, these biomarkers were regulated by 15 common transcription factors. Finally, nicotinamide adenine dinucleotide, pyruvic acid, nitric oxide, and phosphates were predicted as potential co-targeted therapeutic agents.<h4>Conclusions</h4>NDRG1, DLD, and CIRBP were identified as biomarkers for PD, thereby opening new avenues for elucidating disease mechanisms, facilitating early diagnosis, and identifying potential therapeutic targets.
format Article
id doaj-art-9b4c7bc78ccb4db6ba7b50bdcbf3cb06
institution Kabale University
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-9b4c7bc78ccb4db6ba7b50bdcbf3cb062025-08-23T05:31:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01208e032868210.1371/journal.pone.0328682Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.Hao WangLijuan FengLimeng HeNan LiuYan WanWei Zhang<h4>Objective</h4>It has been demonstrated that Parkinson's disease (PD) is closely associated with endoplasmic reticulum stress (ERS) and ferroptosis. However, the specific mechanisms underlying these associations remain unclear. Consequently, this study investigated the mechanisms connecting these factors and explored potential biomarkers for PD.<h4>Methods</h4>Data for PD and ERS, as well as information on ferroptosis, were sourced from public databases and relevant literature. Candidate genes were identified through differential expression analysis and weighted gene co-expression network analysis. Further investigations included functional enrichment analysis, the construction of a protein-protein interaction (PPI) network, and the examination of related genes. Subsequently, biomarkers were validated using the least absolute shrinkage and selection operator regression algorithm. Additionally, correlations among biomarkers, gene set enrichment analysis, chromosomal and subcellular localization, immune cell infiltration, regulatory mechanisms, and drug predictions were conducted.<h4>Results</h4>Initially, seven candidate genes were identified, predominantly associated with type II diabetes mellitus. Furthermore, five interacting associations within the PPI network and twenty related genes were identified, primarily engaged in the physical interactions pathway. Subsequently, three biomarkers were screened: N-myc downstream-regulated gene 1 (NDRG1), dihydrolipoamide dehydrogenase (DLD), and cold-inducible RNA-binding protein (CIRBP). A detailed analysis revealed a positive correlation between CIRBP and DLD, while NDRG1 exhibited a negative correlation with DLD; all three biomarkers were chiefly enriched in the oxidative phosphorylation pathway and PD. NDRG1 is located on chromosome 8, DLD on chromosome 7, and CIRBP on chromosome 19, with all three primarily localized in the nucleus. A total of 31 differential immune cells were identified between the disease and control groups, with neurons representing the highest proportion and the most significant negative correlation observed between DLD and pro B-cells. The interactions involving NORAD-hsa-miR-1277-5p-DLD, NEAT1-hsa-miR-128-3p-CIRBP, and XIST-hsa-miR-3173-5p-NDRG1 were found to be pivotal. Additionally, these biomarkers were regulated by 15 common transcription factors. Finally, nicotinamide adenine dinucleotide, pyruvic acid, nitric oxide, and phosphates were predicted as potential co-targeted therapeutic agents.<h4>Conclusions</h4>NDRG1, DLD, and CIRBP were identified as biomarkers for PD, thereby opening new avenues for elucidating disease mechanisms, facilitating early diagnosis, and identifying potential therapeutic targets.https://doi.org/10.1371/journal.pone.0328682
spellingShingle Hao Wang
Lijuan Feng
Limeng He
Nan Liu
Yan Wan
Wei Zhang
Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.
PLoS ONE
title Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.
title_full Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.
title_fullStr Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.
title_full_unstemmed Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.
title_short Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease.
title_sort bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in parkinson s disease
url https://doi.org/10.1371/journal.pone.0328682
work_keys_str_mv AT haowang bioinformaticsanalysistoexplorebiomarkersandmechanismsofactionassociatedwithendoplasmicreticulumstressandferroptosisinparkinsonsdisease
AT lijuanfeng bioinformaticsanalysistoexplorebiomarkersandmechanismsofactionassociatedwithendoplasmicreticulumstressandferroptosisinparkinsonsdisease
AT limenghe bioinformaticsanalysistoexplorebiomarkersandmechanismsofactionassociatedwithendoplasmicreticulumstressandferroptosisinparkinsonsdisease
AT nanliu bioinformaticsanalysistoexplorebiomarkersandmechanismsofactionassociatedwithendoplasmicreticulumstressandferroptosisinparkinsonsdisease
AT yanwan bioinformaticsanalysistoexplorebiomarkersandmechanismsofactionassociatedwithendoplasmicreticulumstressandferroptosisinparkinsonsdisease
AT weizhang bioinformaticsanalysistoexplorebiomarkersandmechanismsofactionassociatedwithendoplasmicreticulumstressandferroptosisinparkinsonsdisease